Microsoft Copilot Studio Developer

Role: Microsoft Copilot Studio Developer

Location: Minnesota

Power Platform | Azure AI | Generative AI | AI-driven Analytics | Enterprise Integration

Job Summary

• Experienced Microsoft Copilot Studio Developer with strong expertise in Power Platform, Co-work, Azure AI, Generative AI, and enterprise integrations.
• Responsible for designing, developing, integrating, deploying, and supporting enterprise-grade AI agents and intelligent automation solutions.
• Works with business, product, architecture, security, and engineering teams to deliver secure, scalable, and production-ready AI-powered solutions.

Key Responsibilities

1. AI Agent Development: Design, build, test, and deploy Copilot Studio agents with topics, actions, knowledge sources, generative answers, fallback handling, reusable skills, agent instructions, and tool/action definitions.
2. Generative AI: Implement prompt engineering, grounding, RAG, and enterprise knowledge integration to improve response accuracy and relevance.
3. Power Platform: Build workflow automation and business applications using Power Automate, Power Apps, Dataverse, custom connectors, Power Platform solutions, and Microsoft 365 services.
4. AI-driven Data Analytics: Build AI-assisted analytics solutions using Power BI, Microsoft Fabric, semantic models, DAX measures, natural language Q&A, AI-powered insights, anomaly detection, and executive data storytelling.
5. Integration: Integrate Copilot solutions with REST APIs, custom connectors, Microsoft Graph, Teams, SharePoint, Microsoft 365, and enterprise data platforms.
6. Azure AI: Integrate with Azure OpenAI, Azure AI Services, Azure AI Search, Azure Functions, and related Azure services.
7. Security, Governance & Responsible AI: Apply Entra ID authentication, OAuth 2.0, RBAC, managed identities/service principals, DLP policies, connector governance, privacy, compliance, prompt-injection mitigation, data-leakage prevention, groundedness evaluation, content safety, and escalation patterns.
8. ALM, Testing & Production Support: Manage solutions, environments, connection references, regression testing, UAT support, production readiness validation, monitoring, logging, documentation, troubleshooting, and production support.

Required Skills and Experience

• Hands-on experience delivering production-ready Copilot Studio solutions or enterprise conversational AI applications.
• Strong working knowledge of Co-work, Power Platform, including Power Apps, Power Automate, Dataverse, custom connectors, Power Platform solutions, environment management, connection references, and ALM.
• Strong understanding of Generative AI, LLM concepts, prompt engineering, RAG, grounding, agent orchestration, and AI response evaluation.
• Working knowledge of AI-driven analytics, including Power BI, Microsoft Fabric, semantic models, DAX, SQL analytics, dashboards, natural language Q&A, AI-assisted insights, anomaly detection, and data storytelling.
• Experience integrating enterprise systems using REST APIs, Microsoft Graph, custom connectors, authentication patterns, and Microsoft 365 services.
• Knowledge of security, governance, and observability practices, including DLP policies, connector governance, OAuth 2.0, RBAC, managed identities/service principals, Application Insights, Azure Monitor, Copilot analytics, logging, and production support.
• Ability to define and execute test cases for agent conversations, topics, actions, response quality, groundedness, regression testing, UAT support, and production readiness validation.
• Ability to create technical design, integration, deployment, and support documentation.

Good-to-Have Skills

• Exposure to Adaptive Cards, Teams app integrations, SharePoint Online, and Microsoft 365 extensibility.
• Exposure to Power Platform CLI, Power Platform Pipelines, GitHub Actions, or deployment automation practices.
• Advanced knowledge of Microsoft Fabric Lakehouse/Warehouse concepts, OneLake, Dataflows Gen2, governance, data quality, lineage, and access-control patterns.
• Exposure to GitHub Copilot, GitHub Copilot Enterprise, Copilot extensions, MCP-based integrations, agent evaluation harnesses, and developer productivity tooling.

Key Competencies

• Strong analytical, problem-solving, and troubleshooting mindset.
• Ability to own technical delivery from requirements analysis through production deployment.
• Strong understanding of enterprise integration, security, governance, and scalable solution design.
• Effective communication with technical and non-technical stakeholders.